Reparameterizable Multibranch Bottleneck Network for Lightweight Image Super-Resolution

Deployment of deep convolutional neural networks (CNNs) in single image super-resolution (SISR) for edge computing devices is mainly hampered by the huge computational cost. In this work, we propose a lightweight image super-resolution (SR) network based on a reparameterizable multibranch bottleneck...

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Detalles Bibliográficos
Autores principales: Shen, Ying, Zheng, Weihuang, Huang, Feng, Wu, Jing, Chen, Liqiong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10145106/
https://www.ncbi.nlm.nih.gov/pubmed/37112303
http://dx.doi.org/10.3390/s23083963

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10145106/
https://www.ncbi.nlm.nih.gov/pubmed/37112303
http://dx.doi.org/10.3390/s23083963

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